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--- |
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license: cc-by-4.0 |
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task_categories: |
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- image-classification |
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- image-feature-extraction |
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- image-segmentation |
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language: |
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- en |
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size_categories: |
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- 1K<n<10K |
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--- |
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## Liveness Detection: Replay attacks (5K+) |
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The dataset includes selfies from over 1,000 people. Later, a team of over 200 people made 5,000+ replay display attacks based on these selfies. The attacks provide diversity of lighting, devices, and screens |
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## Share with us your feedback and recieve additional samples for free!😊 |
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## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/) to purchase the dataset 💰 |
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## Dataset Description: |
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- Over 1,000 individuals shared selfies |
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- Balanced mix of genders and ethnicities |
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- More than 5,000 display attacks crafted from these selfies |
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## Real Life Selfies Description: |
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- Each person provided one selfie |
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- Selfies are at least 720p quality |
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- Faces are clear with no filters |
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## Replay display attacks description: |
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- Videos last at least 12 seconds |
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- Cameras move slowly, showing attacks from various angles |
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## Potential Use Cases: |
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- Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and replay display attacks with high accuracy |
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- Keywords: Display attacks, Antispoofing, Liveness Detection, Spoof Detection, Facial Recognition, Biometric Authentication, Security Systems, AI Dataset, Replay Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning |
